numpy matrix operations | identity() function
Last Updated :
21 Feb, 2019
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numpy.matlib.identity() is another function for doing matrix operations in numpy. It returns a square identity matrix of given input size.
Syntax : numpy.matlib.identity(n, dtype=None) Parameters : n : [int] Number of rows and columns in the output matrix. dtype : [optional] Desired output data-type. Return : n x n matrix with its main diagonal set to one, and all other elements zero.Code #1 :
# Python program explaining
# numpy.matlib.identity() function
# importing matrix library from numpy
import numpy as geek
import numpy.matlib
# desired 3 x 3 output square identity matrix
out_mat = geek.matlib.identity(3)
print ("Output matrix : ", out_mat)
Output :
Code #2 :
Output matrix : [[ 1. 0. 0.] [ 0. 1. 0.] [ 0. 0. 1.]]
# Python program explaining
# numpy.matlib.identity() function
# importing numpy and matrix library
import numpy as geek
import numpy.matlib
# desired 5 x 5 output square identity matrix
out_mat = geek.matlib.identity(n = 5, dtype = int)
print ("Output matrix : ", out_mat)
Output :
Output matrix : [[1 0 0 0 0] [0 1 0 0 0] [0 0 1 0 0] [0 0 0 1 0] [0 0 0 0 1]]
